Sentence examples for for future classification from inspiring English sources

Finally, we provide some recommendations for future classification of PVR and for designing comparable protocols for testing new drugs or techniques.

The sequencing and analysis strategy we have presented might be the basis for future classification tools for colorectal cancers because it may allow a parallel detection of an increased mutation frequency in MSI tumors as well as the detection of the underlying MMR defect.

The reference patterns are then passed through the PNN for future classification of cough and non-cough patterns.

Classifiers were built for each tissue type separately as well as globally and saved as SVM model files with support vector information for future classification.

The basic principles are that mental illnesses are disorders of brain circuits, that neuroscientific methods can identify brain dysfunctions, and that knowledge about disordered circuits will show the way for future classification, assessment, and treatment.

When a sample of a certain size has been gathered in this way, the proportion of legitimate versus malicious nodes is estimated, and the SVM model corresponding to that estimate is used for future classifications.

This study provides the most inclusive phylogeny of ariid taxa to date and a resource for future classifications and other comparative studies in the family.

Thus, it could be concluded that the sequence alignment of the different lineages obtained according to the phylogenetic and functional divergence analysis showed specific fingerprints for each lineage, whose conserved sequences could be very useful for the future classification of SDH enzymes.

The soil science community is challenged to apply the accumulated knowledge on soil formation, soil differences and functions, as well as, new tools of robust data processing to evaluate current systems and define objective relationships for better future classification systems.

In our prior work on medical text classification, we have investigated and experimented with several active learning sampling methods and observed the need to predict future classification performance for the purpose of selecting the best sampling algorithm and sample size[ 10, 11].

The algorithm returns a structure containing acoustic clusters plotted using visualization techniques that could be used as the foundations for future speech classification systems.